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PKDD
2004
Springer
118views Data Mining» more  PKDD 2004»
10 years 8 months ago
Learning from Multi-source Data
This paper proposes an efficient method to learn from multi source data with an Inductive Logic Programming method. The method is based on two steps. The first one consists in lea...
Élisa Fromont, Marie-Odile Cordier, Rene Qu...
EMNLP
2011
9 years 2 months ago
Multi-Source Transfer of Delexicalized Dependency Parsers
We present a simple method for transferring dependency parsers from source languages with labeled training data to target languages without labeled training data. We first demons...
Ryan T. McDonald, Slav Petrov, Keith Hall
AAAI
1996
10 years 3 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton
ICDCS
2007
IEEE
10 years 6 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
10 years 4 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
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